Growth of medical tourism in India and public-private partnerships
Notice bibliographique
Résumé
Medical tourism in India is a billion dollar and fastest growing healthcare industry. Medical tourism involves traveling across the border nationally or internationally for urgent or elective medical surgeries and other specialised treatments. This is a modern 'cost effective' term coined by healthcare and tourism industries across the globe, although the phenomenon is not new. People have been for centuries traveling within India, for medical healing to the ancient shrines and temples. Pilgrims and patients across the Mediterranean also travelled to ancient Greece to stay in the shrine of the healing god, Asklepios. Today a growing number of patients as tourist from developed countries such as UK, USA, Australia, Canada, and Europe are travelling abroad to developing countries like India, Malaysia, Thailand, and China with the main objective of obtaining immediate health care, plastic surgery, organ replacement, reproductive –IVF procedures including elective surgery and long-term care is gaining greater appeal in the globalised world with fewer barriers to travel. This trend is spreading fast due to the very high cost of elective medical procedures, lack or shortage of organ donors and above all long waiting lists in developed countries. India is the preferred choice in terms of, low cost, no waiting period, climate, English language, exotic destinations, and international and government accreditation.A developing country like India is emerging as a world class medical tourist market in the world, emphasized by world class technology-intensive medical equipment, highly qualified and experienced expertise of medical professionals, the cost-effectiveness of the medical procedures– and above all low cost medical-tourist package for foreigners along with recovery and rest in a five star medical-tourism resort for the patients and accompanying family members. Moreover, it can be argued that public and private sector partnerships is essential between the various key stake holders for providing accredited, efficient, effective, equitable and good quality of health care for the long term sustainability of the medical tourism industry for the host country, given the increasing competition to maximise their participation in the global economy, as well as to guarantee quality of service, infrastructure needs, reasonable price, accreditation and handling of any legal disputes.Like many countries such as Singapore, Malaysia, and Thailand, India also promotes medical tourism through government support and National Health Policy (NHP) reform of 2002 drafted by Prime Minister’s advisory council on Trade and Industry, which treats this industry legally as an ‘export sector’ eligible for all fiscal incentives extended to export earnings. This conceptual paper examines the growth of medical tourism in India and public and private partnerships. Part one introduces the importance of medical tourism and its growth in India. Part two reviews the literature and examines its significance as a major source of export revenue. Part three considers how the adoption of PPP/PFI policy will promote the sustainable growth of medical tourism industry in India and make it globally competitive health care destination. Finally, part four provides some concluding comments.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,004 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,002 | 0,004 |
| Études des sciences et des technologies | 0,003 | 0,003 |
| Communication savante | 0,009 | 0,004 |
| Science ouverte | 0,002 | 0,009 |
| Intégrité de la recherche | 0,003 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,049 | 0,007 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».